The Geometric Hashing technique developed by the NYU Courant Institute has been applied to various automatic
target recognition applications. In particular, I-MATH has extended the hashing algorithm to perform automatic target
recognition ofsynthetic aperture radar (SAR) imagery. For this application, the hashing is performed upon the geometric
locations of dominant scatterers.
In addition to being a robust model-based matching algorithm -- invariant under translation, scale, and 3D rotations
of the target -- hashing is of particular utility because it can still perform effective matching when the target is partially
obscured. Moreover, hashing is very amenable to a SIMD parallel processing architecture, and thus potentially realtime
implementable.